Skalica vs Šamorín: result 2-0 and analysis
2. ligaRegular Season - 8Kick-off on September 8, 2018 at 05:00 PM (UTC)Mestský štadión, Skalica
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What was the result of Skalica vs Šamorín?
Skalica won 2-0 on September 8, 2018.
Goalscorers
- 29′Patrik AbrahámSkalica
- 59′J. DolnýSkalica
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skalica have 12 wins, 2 draws and 1 defeats; Šamorín have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Komárno(away) | 1-3 | 2. liga |
| Aug 24, 2018 | Žilina II(home) | 5-1 | 2. liga |
| Aug 17, 2018 | Lokomotíva Košice(away) | 3-0 | 2. liga |
| Aug 11, 2018 | Poprad(home) | 4-0 | 2. liga |
| Aug 4, 2018 | Lipany(home) | 3-0 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Tatran Prešov(home) | 1-2 | 2. liga |
| Aug 25, 2018 | Dukla Banská Bystrica(away) | 1-1 | 2. liga |
| Aug 18, 2018 | Dubnica(home) | 3-1 | 2. liga |
| Aug 12, 2018 | Petržalka(away) | 0-3 | 2. liga |
| Aug 4, 2018 | Partizán Bardejov(home) | 2-2 | 2. liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Skalica win(s), 1 draw(s), 0 Šamorín win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 11, 2018 | Šamorín 1-1 Skalica | 2. liga |
| Aug 19, 2017 | Skalica 2-0 Šamorín | 2. liga |
How many goals should we expect?
Skalica score 2.4 and concede 0.6 goals per match over their last 15; Šamorín score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skalica | 2.4 | 0.6 | 8 | 7/15 | 10/15 |
| Šamorín | 1.3 | 1.4 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Šamorín | 5 | 4 | 0 | 1 | 11 | 5 | 12 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy